IEEE

A Sensitized Plastic Fiber Sensor for Multi-Point Bending Measurement Based on Deep Learning

Abstract: As we all know, the change of mode interference caused by the curvature change in multi-mode fiber (MMF) can be well represented as a fiber specklegram recorded by CCD (Charge-coupled Device ...
IEEE

Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting

Abstract: Existing vehicle trajectory prediction models struggle with generalizability, prediction uncertainties, and handling complex interactions. It is often due to limitations like complex ...
IEEE

Learning Analytics in Action: A Mixed-Methods Study of Generative AI – ChatGPT’s Impact on L2 Academic Writing Development in English for Academic Purposes (EAP) Classrooms

Abstract: In the field of English for Academic Purposes (EAP), the role of AI-assisted language learning in developing writing skills has been extensively researched and has yielded positive outcomes.
IEEE

Electric Vehicles Management in Distribution Network: A Data-Efficient Bi-Level Safe Deep Reinforcement Learning Method

Abstract: In this paper, a deep reinforcement learning (DRL)-based electric vehicles (EVs) management strategy is proposed to achieve peak shaving and regulate the voltage violations in distribution ...
IEEE

Quantization Adaptor for Bit-Level Deep Learning-Based Massive MIMO CSI Feedback

Abstract: In massive multiple-input multiple-output (MIMO) systems, the user equipment (UE) needs to feed the channel state information (CSI) back to the base station (BS) for the following ...
IEEE

Multi-Agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm

Abstract: Pervasive edge computing refers to one kind of edge computing that merely relies on edge devices with sensing, storage and communication abilities to realize peer-to-peer offloading without ...
IEEE

WMRE: Enhancing Distant Supervised Relation Extraction with Word-level Multi-instance Learning and Multi-hierarchical Feature

Abstract: Distant supervised relation extraction (DSRE) obtains large amounts of data cost-effectively by aligning knowledge base with natural texts but also brings noisy data. Existing methods deal ...
IEEE

GraphTAN: Temporal Attention Network for Learning Graph-Level Embedding

Abstract: Numerous significant temporal graph tasks, such as graph similarity ranking, trend analysis and anomaly detection, necessitate low-dimensional and high-order graph-level embedding in terms ...
IEEE

Open-Circuit Fault Diagnosis Based on Deep Learning for Four-Level Active Neutral-Point Clamped Inverters

Abstract: In this paper, a deep learning-based fault diagnosis has been proposed for improving reliability when detect faulty switches of four-level active neutral point clamped (ANPC) inverters. The ...
IEEE

Not Just Single Reasoning! A Hierarchical Network for Document-level Biomedical Relation Extraction with Multi-Granularity Learning

Abstract: Document-level biomedical relation extraction (Bio-DocRE) involves identifying relations between entities distributed across multiple sentences in biomedical literature. Most existing ...
IEEE

Service-Aware Two-Level Partitioning for Machine Learning-Based Network Intrusion Detection With High Performance and High Scalability

Abstract: A network intrusion detection system (NIDS) is an important technology for cyber security. Recently, machine learning based NIDSs are being actively researched as various machine learning ...